Marine surveillance can be done under different methodologies, using for example cooperative systems, where ships themselves report their identities and positions, with different options, like the Automatic Identification System (AIS), among others.
Non-cooperative systems do not require cooperation on the side of the vessel. They use cameras and radars located on a variety of platforms. Ship detection with Sentinel-1 falls into this category and enables detection of vessels not carrying Automatic Identification System or other tracking system on board, such as smaller fishing ships or ships that are in the surveyed area illegally (illegal fishing, piracy, etc.). Moreover, SAR is not reliant on solar illumination and is rather independent of weather conditions, therefore enabling frequent monitoring.
Throughout the training, focusing on Ship detection with Sentinel-1 data using SNAP Sentinel-1 toolbox, we will give attendees the possibility to learn by doing, with a large content of data processing. We will explore the RUS environment and the SNAP toolbox to demonstrate an example of maritime surveillance using Sentinel-1 satellite-borne Synthetic Aperture Radar (SAR).
This full-day remote course is primarily designed for an audience of Start-ups or SMEs, but is also open to any applicants. Trainees will access from their own laptop the RUS Virtual Machine, fully equipped with all the necessary software and data to follow the exercise during the course. They will be supported by our teams of EO experts. The VM will remain accessible to users during the following week to keep practising alone.
Attendance to this remote training session is free but requires registration before 31 January.
For more information and registration, visit our training website.